Instructions to use Tianlin668/MultiWD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tianlin668/MultiWD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tianlin668/MultiWD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tianlin668/MultiWD") model = AutoModelForSequenceClassification.from_pretrained("Tianlin668/MultiWD") - 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 sha256:54285628528b7d33d2162035f06e610737b6496b2a8c6f1cb3d3850e72d835f3
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size 437962832
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