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gpt-j_rm_format-oa
reciprocate/gpt-j_rm_format-oa
gpt-j_rm_format-oa is a text classification model from reciprocate. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- gptj
- Access
- Public
- Created
- May 13, 2023
- Updated
- May 13, 2023
- SHA
- 314cd9d3
Try a prompt
Model card
From the Hugging Face model README
GPT-J for preference modeling
- Dataset: https://huggingface.co/datasets/reciprocate/oasst_hh_shp_hellaswag_webgpt_rm_dataset
- Logs: https://wandb.ai/sorry/autocrit/runs/y9des5kz?workspace=user-sorry
Usage:
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
model = AutoModelForSequenceClassification.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
input = "<|prompter|>Are you lying right now?</s><|assistant|>I am :)</s><|endoftext|>"
model(**tokenizer(input, return_tensors="pt"))[0].item()
Output:
-4.877448558807373
- Task
- Text Classification
- Library
- transformers
- Type
- gptj
- License
- apache-2.0
- Languages
- en
- Created
- May 13, 2023
- Updated
- May 13, 2023