Instructions to use Rathgeberj/milestone3_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rathgeberj/milestone3_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rathgeberj/milestone3_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rathgeberj/milestone3_1") model = AutoModelForSequenceClassification.from_pretrained("Rathgeberj/milestone3_1", 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:b31b0fd829a8fece2e8a34e944ae58a37a4983c3276391f555ff86ae5519815d
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size 267832560
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