Instructions to use harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/config.json from harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned: direct link, hf CLI and curl.
- Browser
- Download file 922 Bytes
-
https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned/resolve/main/0_Transformer/config.json
- Command line
-
hf download hf://harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned/0_Transformer/config.json
-
curl -L -o config.json https://huggingface.co/harish/AStitchInLanguageModels-Task2_PT_SentTransDefaultFineTuned/resolve/main/0_Transformer/config.json
922 Bytes
| { | |
| "_name_or_path": "output-no-git/NEW/PT/STModels/bert-base-multilingual-cased-tokenized/PT-v3-dev-test-all-bert-base-multilingual-cased-tokenized-s3/0_Transformer", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "directionality": "bidi", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.7.0.dev0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 119547 | |
| } | |