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:
- e639d8cf2cad760d79eed2796f12550d1de4c14421123c3bbea29084e21b0a86
- Size of remote file:
- 3.06 kB
- SHA256:
- 2fa7503c624baad07e7385a60b963978b658c2090bf40fd463e6daea15a89b0e
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