Instructions to use FINDA-FIT/inter-milan-false with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/inter-milan-false with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINDA-FIT/inter-milan-false")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/inter-milan-false") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/inter-milan-false") - 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:fad21b8ad66077e178d55d8f907c1928d130c3ad371d57cb972294047f6f336f
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size 2239631068
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