Instructions to use Monica95/STmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monica95/STmodel1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monica95/STmodel1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monica95/STmodel1") model = AutoModelForSequenceClassification.from_pretrained("Monica95/STmodel1", 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 sha256:7d0e409b3d121cbb00f6cbec2858545bb4e238709abf3fadb73180dc97dfa635
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size 437959248
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