Instructions to use natankatz/chan_model_class_f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natankatz/chan_model_class_f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="natankatz/chan_model_class_f")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("natankatz/chan_model_class_f") model = AutoModelForSequenceClassification.from_pretrained("natankatz/chan_model_class_f") - 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:dd11417592bc17c65713a1ba671d9a07deaa96ce50ed6a07b810465b38850e6a
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size 444054224
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