Instructions to use alfredodeza/trail-status with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alfredodeza/trail-status with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alfredodeza/trail-status")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alfredodeza/trail-status") model = AutoModelForSequenceClassification.from_pretrained("alfredodeza/trail-status") - 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 sha256:7cf38f7329a9f8031e701e78b1171cec909892eed4d1773608d4b0f79513ee74
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size 498612824
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