Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use pporteiro/finetuned-amazon_reviews_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pporteiro/finetuned-amazon_reviews_multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pporteiro/finetuned-amazon_reviews_multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pporteiro/finetuned-amazon_reviews_multi") model = AutoModelForSequenceClassification.from_pretrained("pporteiro/finetuned-amazon_reviews_multi", 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 sha256:5ba8dc2e288ac1c6a0b4fdeb54238dd1c5b108b868d1bda6ac0358470155ef68
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size 498607808
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