Instructions to use Bhaveshgb/auto_bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bhaveshgb/auto_bot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Bhaveshgb/auto_bot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Bhaveshgb/auto_bot") model = AutoModelForQuestionAnswering.from_pretrained("Bhaveshgb/auto_bot") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:348fa05dbf62dfe1e751db41a179a5b2edb2bb6778bc068492612516874977d1
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size 437382632
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