Instructions to use westernmonster/deberta_amazon_reviews_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use westernmonster/deberta_amazon_reviews_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="westernmonster/deberta_amazon_reviews_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("westernmonster/deberta_amazon_reviews_v1") model = AutoModelForSequenceClassification.from_pretrained("westernmonster/deberta_amazon_reviews_v1", 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 sha256:62d8b21e5db34df81d8929e0533d790a351dfc1fc7d297c13646c87e80e318ff
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size 737732700
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