Instructions to use textattack/roberta-base-WNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-WNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-WNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-WNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-WNLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from textattack/roberta-base-WNLI: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/textattack/roberta-base-WNLI/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://textattack/roberta-base-WNLI@refs/pr/1/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/textattack/roberta-base-WNLI/resolve/refs%2Fpr%2F1/tokenizer_config.json
25 Bytes
| {"model_max_length": 512} |