Instructions to use danlou/roberta-large-finetuned-csqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danlou/roberta-large-finetuned-csqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("danlou/roberta-large-finetuned-csqa") model = AutoModelForMultipleChoice.from_pretrained("danlou/roberta-large-finetuned-csqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from danlou/roberta-large-finetuned-csqa: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/danlou/roberta-large-finetuned-csqa/resolve/refs%2Fpr%2F1/vocab.json
- Command line
-
hf download hf://danlou/roberta-large-finetuned-csqa@refs/pr/1/vocab.json
-
curl -L -o vocab.json https://huggingface.co/danlou/roberta-large-finetuned-csqa/resolve/refs%2Fpr%2F1/vocab.json
798 kB
File too large to display, you can check the raw version instead.