Instructions to use VictorGil75/Champus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VictorGil75/Champus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VictorGil75/Champus")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VictorGil75/Champus") model = AutoModelForSequenceClassification.from_pretrained("VictorGil75/Champus") - 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 sha256:85be58c7562f1cd73a26071a12a3af7e5c111e7d77552d826431f417475b9d67
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size 439433208
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