Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified") model = AutoModelForSequenceClassification.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/resolve/main/model.safetensors
- Command line
-
hf download hf://RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified/resolve/main/model.safetensors
499 MB
- Xet hash:
- 1c8319d70945e56117ff26d42d44acdd617aa051d581ef9c855bdf337a1afc67
- Size of remote file:
- 499 MB
- SHA256:
- 119ce6d3d16f2c2c49bd83574996b1cd8eb993b7a47ce4ecbca76bb356674bb0
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