Instructions to use InriaValda/scibert_base_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InriaValda/scibert_base_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="InriaValda/scibert_base_ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("InriaValda/scibert_base_ft") model = AutoModelForSequenceClassification.from_pretrained("InriaValda/scibert_base_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c27b22eda336f0ee5470e6b2c294a9776c3553c5cdccf41293db8757b3d154d7
- Size of remote file:
- 440 MB
- SHA256:
- e89934e828808486f5902b5a920de7475f228ecba9f4d1cfdf3de4495ee95230
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