Instructions to use Lin0He/text-summary-gpt2-short with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lin0He/text-summary-gpt2-short with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="Lin0He/text-summary-gpt2-short")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Lin0He/text-summary-gpt2-short") model = AutoModelForCausalLM.from_pretrained("Lin0He/text-summary-gpt2-short", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Lin0He/text-summary-gpt2-short: direct link, hf CLI and curl.
- Browser
- Download file 245 Bytes
-
https://huggingface.co/Lin0He/text-summary-gpt2-short/resolve/main/generation_config.json
- Command line
-
hf download hf://Lin0He/text-summary-gpt2-short/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/Lin0He/text-summary-gpt2-short/resolve/main/generation_config.json
245 Bytes
| { | |
| "_from_model_config": true, | |
| "_original_object_hash": -8720983552698538326, | |
| "bos_token_id": 50256, | |
| "eos_token_id": 50256, | |
| "num_assistant_tokens": 5, | |
| "num_assistant_tokens_schedule": "heuristic", | |
| "transformers_version": "4.32.1" | |
| } | |