Instructions to use ericntay/bio_bert_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericntay/bio_bert_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ericntay/bio_bert_ft")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ericntay/bio_bert_ft") model = AutoModelForTokenClassification.from_pretrained("ericntay/bio_bert_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17cde60de95c583d375667bb70af72fc330def5ee1990be4f113ab5138d8c430
- Size of remote file:
- 3.25 kB
- SHA256:
- 197f3f39181e95b20f6708a96dc7659f46923b4a70c956d0b89dbefc6a3610b2
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