Instructions to use krinal214/bert-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +31 -0
- pytorch_model.bin +3 -0
- runs/Mar15_19-38-19_19db68e773fb/1647373112.3455784/events.out.tfevents.1647373112.19db68e773fb.35.1 +3 -0
- runs/Mar15_19-38-19_19db68e773fb/events.out.tfevents.1647373112.19db68e773fb.35.0 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bert-base-multilingual-cased",
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"architectures": [
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"BertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d473a4197e2ed7b2546b3c4cdea9cc66633e22407b42807aa0e56cf9dd526547
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size 709140913
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runs/Mar15_19-38-19_19db68e773fb/1647373112.3455784/events.out.tfevents.1647373112.19db68e773fb.35.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a09c8d7dbd4766ebe62160ccbedaef28621c0a51bf7f2ac017ad7224961e248
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size 4827
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runs/Mar15_19-38-19_19db68e773fb/events.out.tfevents.1647373112.19db68e773fb.35.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:77623d44c38ce69bdc1d3830f3cd28039dbc0f1eee0f40f0ef0d56d481ff5334
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size 3699
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-cased", "tokenizer_class": "BertTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed0342d0eb8a2adae6d3d626bed4283d9333c621d286faa770e07dddb4754a9f
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size 3055
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vocab.txt
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