Instructions to use rajpurkarlab/filbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajpurkarlab/filbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rajpurkarlab/filbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rajpurkarlab/filbert") model = AutoModelForSequenceClassification.from_pretrained("rajpurkarlab/filbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 341a488b6dc7b8b408c70f5c3ceea5ac8fbb4e073c0095123e02f353d09a7317
- Size of remote file:
- 433 MB
- SHA256:
- 5eca3d6b30b61d6aa56d157ca6e64c4c1f1997762e23c0be7dd8265407d122f1
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