Instructions to use sagnikrayc/roberta-base-fever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagnikrayc/roberta-base-fever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagnikrayc/roberta-base-fever")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagnikrayc/roberta-base-fever") model = AutoModelForSequenceClassification.from_pretrained("sagnikrayc/roberta-base-fever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7ee63fd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:87438f91be191821f524f70c8abe381254467a8f951342677089c4ede27526eb
size 498663405
|