Instructions to use JimmyPin/mt5-finetuned-summarize-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JimmyPin/mt5-finetuned-summarize-small 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="JimmyPin/mt5-finetuned-summarize-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JimmyPin/mt5-finetuned-summarize-small") model = AutoModelForSeq2SeqLM.from_pretrained("JimmyPin/mt5-finetuned-summarize-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from JimmyPin/mt5-finetuned-summarize-small: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/JimmyPin/mt5-finetuned-summarize-small/resolve/main/generation_config.json
- Command line
-
hf download hf://JimmyPin/mt5-finetuned-summarize-small/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/JimmyPin/mt5-finetuned-summarize-small/resolve/main/generation_config.json
118 Bytes
| { | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.47.1" | |
| } | |