Instructions to use Sybghat/FAQs_DistillBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sybghat/FAQs_DistillBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sybghat/FAQs_DistillBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sybghat/FAQs_DistillBERT") model = AutoModelForQuestionAnswering.from_pretrained("Sybghat/FAQs_DistillBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00bd426ebc957a113558f8813fdf378661ca64ca95bccda9f63566da06ba88ba
- Size of remote file:
- 265 MB
- SHA256:
- 426b73ffd09f203fe8a2ef752ddf36379c06325a5de7e08b2e578e1385a38350
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