Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ltuzova/amazon_helpfulness_classification_dapt_tap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltuzova/amazon_helpfulness_classification_dapt_tap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ltuzova/amazon_helpfulness_classification_dapt_tap")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ltuzova/amazon_helpfulness_classification_dapt_tap") model = AutoModelForSequenceClassification.from_pretrained("ltuzova/amazon_helpfulness_classification_dapt_tap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ltuzova/amazon_helpfulness_classification_dapt_tap: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/ltuzova/amazon_helpfulness_classification_dapt_tap/resolve/main/training_args.bin
- Command line
-
hf download hf://ltuzova/amazon_helpfulness_classification_dapt_tap/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ltuzova/amazon_helpfulness_classification_dapt_tap/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 1eb3211ce96e278d8f9c1d8183283b912facae5b179234fe9ba380ac6ee777f8
- Size of remote file:
- 4.79 kB
- SHA256:
- 3f66204e74d614b1f1332bf5bfab578fc3bd3d89c1c64316e9180bbba4a79954
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