Instructions to use internetoftim/pushit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/pushit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="internetoftim/pushit")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("internetoftim/pushit") model = AutoModelForQuestionAnswering.from_pretrained("internetoftim/pushit") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d26332f9b395e09a638c82c6e27990e38dc76f28a9e015f533d70e78d4245e5c
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size 1336428352
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