Instructions to use SebasLopez-ai/distilbert-amazon-reviews-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SebasLopez-ai/distilbert-amazon-reviews-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SebasLopez-ai/distilbert-amazon-reviews-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SebasLopez-ai/distilbert-amazon-reviews-sentiment") model = AutoModelForSequenceClassification.from_pretrained("SebasLopez-ai/distilbert-amazon-reviews-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download predictions_distilbert.csv from SebasLopez-ai/distilbert-amazon-reviews-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/SebasLopez-ai/distilbert-amazon-reviews-sentiment/resolve/main/predictions_distilbert.csv
- Command line
-
hf download hf://SebasLopez-ai/distilbert-amazon-reviews-sentiment/predictions_distilbert.csv
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curl -L -o predictions_distilbert.csv https://huggingface.co/SebasLopez-ai/distilbert-amazon-reviews-sentiment/resolve/main/predictions_distilbert.csv
11.4 MB
- Xet hash:
- ca4488cc28c18a17f4a816e06cdba19ba6a72912f70e2589200e5d879f717dee
- Size of remote file:
- 11.4 MB
- SHA256:
- adae090eeab3bf15b02a8abfc2554b99f413b38d921b13a6c7e97d9de16bcc38
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