Instructions to use timaos/try_save_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timaos/try_save_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="timaos/try_save_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("timaos/try_save_model") model = AutoModelForSequenceClassification.from_pretrained("timaos/try_save_model") - 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 sha256:1ad69c3d305a6c7fadebb6f50f88091252eb511a32212f9e7c9ff6336344ec0e
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size 433274952
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