Instructions to use negfir/Distill_SQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use negfir/Distill_SQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="negfir/Distill_SQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("negfir/Distill_SQuAD") model = AutoModelForMaskedLM.from_pretrained("negfir/Distill_SQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dff37f2bd4ea6f2cbf5f50498a45748d29dc9dde08ad41c34c2a117d4e12963
- Size of remote file:
- 216 MB
- SHA256:
- 36296dae903955de6a4fa3fca592fd1536211a416dd576b5cd889cd2c6a58235
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