Instructions to use Pablo94/electrawandb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pablo94/electrawandb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pablo94/electrawandb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pablo94/electrawandb") model = AutoModelForSequenceClassification.from_pretrained("Pablo94/electrawandb", device_map="auto") - 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:bdd58d1a57d2ae548e74078f13a2303a902d7edab4fd44ee0236113246f022ae
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size 437959248
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