Instructions to use seanghay/albert-khmer-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanghay/albert-khmer-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seanghay/albert-khmer-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seanghay/albert-khmer-small") model = AutoModelForMaskedLM.from_pretrained("seanghay/albert-khmer-small") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- special_tokens_map.json +2 -2
- spiece.model +2 -2
- tokenizer_config.json +14 -14
special_tokens_map.json
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@@ -28,7 +28,7 @@
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"single_word": false
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},
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"pad_token": {
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"content": "
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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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"unk_token": {
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"content": "
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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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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:069733a699002399db1385d88d56d89557f459958b136063cc84a44cc18ea8f7
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size 676662
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"
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"content": "[
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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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"special": true
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},
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"
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"content": "[
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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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"special": true
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},
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"
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"content": "[
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"lstrip":
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"
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"content": "
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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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"special": true
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},
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"
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"content": "
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"lstrip":
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"keep_accents": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "
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"remove_space": false,
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"tokenizer_class": "AlbertTokenizer",
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"unk_token": "
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}
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{
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"added_tokens_decoder": {
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"0": {
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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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"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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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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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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"special": true
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},
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"3": {
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"content": "[SEP]",
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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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"special": true
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},
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"4": {
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"keep_accents": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"remove_space": false,
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"tokenizer_class": "AlbertTokenizer",
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"unk_token": "[UNK]"
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}
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