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
Download tokenizer.json from sagnikrayc/roberta-base-fever: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/sagnikrayc/roberta-base-fever/resolve/main/tokenizer.json
- Command line
-
hf download hf://sagnikrayc/roberta-base-fever/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sagnikrayc/roberta-base-fever/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.