Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/tapt_amazon_helpfulness_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/tapt_amazon_helpfulness_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BigTMiami/tapt_amazon_helpfulness_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/tapt_amazon_helpfulness_classification") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/tapt_amazon_helpfulness_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/tapt_amazon_helpfulness_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/BigTMiami/tapt_amazon_helpfulness_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/tapt_amazon_helpfulness_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/tapt_amazon_helpfulness_classification/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 5dc16fa28af06de33bc8035ea2f5c0f4136958ee288e8bdaacd323c49dbb8d21
- Size of remote file:
- 4.92 kB
- SHA256:
- 021944937f05af83e88aeda281f1dca2588b47455b12a74d40fec800a29da1fd
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