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
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Mar24_01-42-20_b5dfe0604ac8/events.out.tfevents.1648086147.b5dfe0604ac8.71.22
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