Instructions to use k-partha/extrabert_bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use k-partha/extrabert_bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="k-partha/extrabert_bio")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("k-partha/extrabert_bio") model = AutoModelForSequenceClassification.from_pretrained("k-partha/extrabert_bio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cd2f4ef8c46594e5f15e9e65afa13a97a0e2216efe07aabc81f664fdf6eb2e6
- Size of remote file:
- 438 MB
- SHA256:
- d59251d614fcaee46c34c960cd80633e8d33e3af22952bdaaa1e8e8ef6a5f5a6
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