Instructions to use keepitreal/mini-phoelectra-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keepitreal/mini-phoelectra-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="keepitreal/mini-phoelectra-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("keepitreal/mini-phoelectra-v1") model = AutoModelForMaskedLM.from_pretrained("keepitreal/mini-phoelectra-v1") - Notebooks
- Google Colab
- Kaggle
File size: 735 Bytes
87aa565 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"architectures": [
"ElectraForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"embedding_size": 128,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 256,
"initializer_range": 0.02,
"intermediate_size": 512,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "electra",
"num_attention_heads": 4,
"num_hidden_layers": 6,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"summary_activation": "gelu",
"summary_last_dropout": 0.1,
"summary_type": "first",
"summary_use_proj": true,
"torch_dtype": "float32",
"transformers_version": "4.21.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 66120
}
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