Instructions to use alisawuffles/roberta-large-wanli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alisawuffles/roberta-large-wanli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alisawuffles/roberta-large-wanli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alisawuffles/roberta-large-wanli") model = AutoModelForSequenceClassification.from_pretrained("alisawuffles/roberta-large-wanli", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alisawuffles/roberta-large-wanli: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/alisawuffles/roberta-large-wanli/resolve/main/tokenizer.json
- Command line
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hf download hf://alisawuffles/roberta-large-wanli/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/alisawuffles/roberta-large-wanli/resolve/main/tokenizer.json
1.36 MB
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