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deberta-v3-large-edu-rm
edu-linguistic/deberta-v3-large-edu-rm
deberta-v3-large-edu-rm is a machine learning model from edu-linguistic. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Public
Updated Jun 18, 2023
Repo size
8.8 MB
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.json8.7 MB · 50%
At a glance
- Access
- Public
- Created
- Jun 17, 2023
- Updated
- Jun 18, 2023
- SHA
- 377fe548
Model card
From the Hugging Face model README
Inference Example:
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
peft_model_id = "edu-linguistic/deberta-v3-large-edu-rm"
model_name = 'microsoft/deberta-v3-large'
config = PeftConfig.from_pretrained(peft_model_id)
model_config = AutoConfig.from_pretrained(model_name, cache_dir=self.model_cache_dir)
model_config.num_labels = 1
model = AutoModelForSequenceClassification.from_pretrained(model_name)
model = PeftModelForSequenceClassification.from_pretrained(model, peft_model_id)
tokenizer = AutoTokenizer.from_pretrained(model_name)
texts = "<|prompter|> When using linear regression, how do you help prevent numerical instabilities? (One or multiple answers) \n <|assistant|> 4. add more features"
inputs = tokenizer(texts, return_tensors='pt', padding=True, truncation=True)
score = self.reward_model(**inputs).logits.cpu().detach()
print(score)
- Languages
- en
- Created
- Jun 17, 2023
- Updated
- Jun 18, 2023