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:
- fc70457cb179d37185267340ae89838c84eb77b90ff366c43fec8b7e620a6dd9
- Size of remote file:
- 431 MB
- SHA256:
- f3e1a5c82430567726579488fdedee0a04103c7e1fd900ba004418eac1bfde3e
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