Instructions to use Ihor/DILI-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ihor/DILI-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ihor/DILI-scibert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ihor/DILI-scibert") model = AutoModelForSequenceClassification.from_pretrained("Ihor/DILI-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03fe6f8084f26aa20da6643e80fbfb82adf30cfdbf8ee8a6d77b96f54f26ea1
- Size of remote file:
- 440 MB
- SHA256:
- e071146dddb23bd9281d59db2738b41894063779f0f44e6579811e5a080b6a11
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