Instructions to use Pablo94/bertwandb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pablo94/bertwandb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pablo94/bertwandb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pablo94/bertwandb") model = AutoModelForSequenceClassification.from_pretrained("Pablo94/bertwandb", 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:e43ad6b7c2d3992133ccf6626a588ab66bda30d095e73404785cb8033ecf53c2
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size 437958648
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