Translation
Transformers
PyTorch
JAX
Rust
t5
text2text-generation
summarization
text-generation-inference
Instructions to use qiaoyi/Comment_Summarization4DesignTutor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qiaoyi/Comment_Summarization4DesignTutor with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="qiaoyi/Comment_Summarization4DesignTutor")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qiaoyi/Comment_Summarization4DesignTutor") model = AutoModelForSeq2SeqLM.from_pretrained("qiaoyi/Comment_Summarization4DesignTutor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from qiaoyi/Comment_Summarization4DesignTutor: direct link, hf CLI and curl.
- Browser
- Download file 483 Bytes
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https://huggingface.co/qiaoyi/Comment_Summarization4DesignTutor/resolve/main/gitattributes
- Command line
-
hf download hf://qiaoyi/Comment_Summarization4DesignTutor/gitattributes
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curl -L -o gitattributes https://huggingface.co/qiaoyi/Comment_Summarization4DesignTutor/resolve/main/gitattributes
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