Instructions to use james-burton/wine_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-burton/wine_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="james-burton/wine_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("james-burton/wine_0") model = AutoModelForSequenceClassification.from_pretrained("james-burton/wine_0", 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 sha256:47a7f89b8edcaacffbd5ef5f3f5255c37a3d7dedab352974b73da93fd3489d1b
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size 267918696
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