Instructions to use dd101bb/latentRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd101bb/latentRM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dd101bb/latentRM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dd101bb/latentRM") model = AutoModelForTokenClassification.from_pretrained("dd101bb/latentRM") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag and add license
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by nielsr HF Staff - opened
README.md
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library_name: transformers
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tags:
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- rm
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- latent
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- openai/gsm8k
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base_model:
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- openai-community/gpt2
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pipeline_tag: token-classification
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---
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# LatentRM
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base_model:
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- openai-community/gpt2
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datasets:
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- openai/gsm8k
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library_name: transformers
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pipeline_tag: feature-extraction
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tags:
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- rm
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- latent
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license: apache-2.0
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# LatentRM
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