Instructions to use scroobiustrip/test-classifier-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scroobiustrip/test-classifier-model-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="scroobiustrip/test-classifier-model-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("scroobiustrip/test-classifier-model-v1") model = AutoModel.from_pretrained("scroobiustrip/test-classifier-model-v1") - 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 sha256:3b2f8aebb51f286e8e80c4439411f07b3a15addb6c688201ec337cc29c9b32cc
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size 669452224
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