Instructions to use jay0911/ade_biobert_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jay0911/ade_biobert_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jay0911/ade_biobert_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jay0911/ade_biobert_output") model = AutoModelForSequenceClassification.from_pretrained("jay0911/ade_biobert_output") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: ade_biobert_output
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.55.0
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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model-index:
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- name: ade_biobert_output
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results: []
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datasets:
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- ade-benchmark-corpus/ade_corpus_v2
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.55.0
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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