Instructions to use elgeish/cs224n-squad2.0-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elgeish/cs224n-squad2.0-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="elgeish/cs224n-squad2.0-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("elgeish/cs224n-squad2.0-roberta-base") model = AutoModelForQuestionAnswering.from_pretrained("elgeish/cs224n-squad2.0-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from elgeish/cs224n-squad2.0-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 39 Bytes
-
https://huggingface.co/elgeish/cs224n-squad2.0-roberta-base/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://elgeish/cs224n-squad2.0-roberta-base@refs/pr/1/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/elgeish/cs224n-squad2.0-roberta-base/resolve/refs%2Fpr%2F1/tokenizer_config.json
39 Bytes
| {"do_lower_case": true, "max_len": 512} |