Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/amazon_helpfulness_classification_on_base_no_pretraining/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 49bf04a082fdbe1334facbf298061de991006fc976fa661df546e8a22c12b2d7
- Size of remote file:
- 4.98 kB
- SHA256:
- 6ab51aae1e95000dd11b205ea4c7104a8240b7c89ffae011694919abb37dff5b
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