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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 628eac7e925eabbea8c1be65343157a4688133a35615d525c5ac5143b2d27498
- Size of remote file:
- 5.11 kB
- SHA256:
- 04771488550ce1933e1cb5e41f54d6e66d53c379d85c0b2e9731db07a79823b3
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