Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/amazon_helpfulness_classification_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/amazon_helpfulness_classification_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BigTMiami/amazon_helpfulness_classification_full")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/amazon_helpfulness_classification_full") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/amazon_helpfulness_classification_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/amazon_helpfulness_classification_full: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/BigTMiami/amazon_helpfulness_classification_full/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/amazon_helpfulness_classification_full/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/amazon_helpfulness_classification_full/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 0090c360a4a28ede51f760f432274a633e02b76b109434b7885932f3c7c51be6
- Size of remote file:
- 4.92 kB
- SHA256:
- 1fc40aad89c9f87c26285c991d24c24feea9119e969474f53bd92d6cf9a11b79
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