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kauffinger
/
scibert_scivocab_uncased-mnli

Text Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use kauffinger/scibert_scivocab_uncased-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kauffinger/scibert_scivocab_uncased-mnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kauffinger/scibert_scivocab_uncased-mnli")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kauffinger/scibert_scivocab_uncased-mnli")
    model = AutoModelForSequenceClassification.from_pretrained("kauffinger/scibert_scivocab_uncased-mnli", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
scibert_scivocab_uncased-mnli
880 MB
Ctrl+K
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  • 3 contributors
History: 4 commits
kauffinger's picture
kauffinger
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
0da734e verified over 1 year ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model (#2) over 1 year ago
  • README.md
    2.73 kB
    Librarian Bot: Add base_model information to model (#1) almost 3 years ago
  • all_results.json
    695 Bytes
    initial about 4 years ago
  • config.json
    908 Bytes
    initial about 4 years ago
  • eval_results.json
    477 Bytes
    initial about 4 years ago
  • model.safetensors
    440 MB
    xet
    Adding `safetensors` variant of this model (#2) over 1 year ago
  • pytorch_model.bin
    440 MB
    xet
    initial about 4 years ago
  • special_tokens_map.json
    125 Bytes
    initial about 4 years ago
  • tokenizer.json
    717 kB
    initial about 4 years ago
  • tokenizer_config.json
    415 Bytes
    initial about 4 years ago
  • train_results.json
    238 Bytes
    initial about 4 years ago
  • trainer_state.json
    9.51 kB
    initial about 4 years ago
  • training_args.bin
    3.44 kB
    xet
    initial about 4 years ago
  • vocab.txt
    228 kB
    initial about 4 years ago