Instructions to use ishathombre/monolingual-hindi-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishathombre/monolingual-hindi-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ishathombre/monolingual-hindi-from-scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ishathombre/monolingual-hindi-from-scratch") model = AutoModelForMaskedLM.from_pretrained("ishathombre/monolingual-hindi-from-scratch") - Notebooks
- Google Colab
- Kaggle
Initial upload: BERT Hindi pretrained 1 epoch
Browse files- config.json +24 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- trainer_state.json +1318 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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| 6 |
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"classifier_dropout": null,
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| 7 |
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"hidden_act": "gelu",
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| 8 |
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"hidden_dropout_prob": 0.1,
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| 9 |
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"hidden_size": 312,
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| 10 |
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"initializer_range": 0.02,
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| 11 |
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"intermediate_size": 1200,
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| 12 |
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"layer_norm_eps": 1e-12,
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| 13 |
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"max_position_embeddings": 512,
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| 14 |
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"model_type": "bert",
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| 15 |
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"num_attention_heads": 12,
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| 16 |
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"num_hidden_layers": 4,
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| 17 |
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"pad_token_id": 0,
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| 18 |
+
"position_embedding_type": "absolute",
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| 19 |
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"torch_dtype": "float32",
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"transformers_version": "4.52.4",
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| 21 |
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"type_vocab_size": 2,
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| 22 |
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"use_cache": true,
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"vocab_size": 64000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2dec62f7fac34fb39b664faeda710a164b01ab85510bc13d58463bc23cca488
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size 99448512
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optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3c492d68655cc385f44691a8908d02658b57224ac70684a329959ac7b312beb
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size 198939642
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rng_state.pth
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:50d5b29546e75091c3f7e6c0e063fb2f2b6ba4e2c846ad670e85631b25e5954f
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size 14244
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scaler.pt
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:4ba2d9861718463ff7bd6d73f6b23628ebc78b5e0f737da9d01a6bf436bebb71
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size 988
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scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:79bae0715819b1b77abf40ca1f738a8fab27c31b60cfb1939fa909b01bc244d1
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size 1064
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special_tokens_map.json
ADDED
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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| 25 |
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"lstrip": false,
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| 26 |
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"normalized": false,
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| 27 |
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"rstrip": false,
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| 28 |
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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| 33 |
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"normalized": false,
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| 34 |
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"rstrip": false,
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| 35 |
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"single_word": false
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| 36 |
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}
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| 37 |
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}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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| 4 |
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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| 19 |
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"2": {
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| 20 |
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"content": "[CLS]",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
+
"single_word": false,
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| 25 |
+
"special": true
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| 26 |
+
},
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| 27 |
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"3": {
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| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
|
| 31 |
+
"rstrip": false,
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| 32 |
+
"single_word": false,
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| 33 |
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"special": true
|
| 34 |
+
},
|
| 35 |
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"4": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"extra_special_tokens": {},
|
| 48 |
+
"mask_token": "[MASK]",
|
| 49 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 50 |
+
"pad_token": "[PAD]",
|
| 51 |
+
"sep_token": "[SEP]",
|
| 52 |
+
"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
+
"tokenizer_class": "BertTokenizer",
|
| 55 |
+
"unk_token": "[UNK]"
|
| 56 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1318 @@
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