Instructions to use wilsonmarciliojr/mt5-small-finetuned-en-fr-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wilsonmarciliojr/mt5-small-finetuned-en-fr-news 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="wilsonmarciliojr/mt5-small-finetuned-en-fr-news")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wilsonmarciliojr/mt5-small-finetuned-en-fr-news") model = AutoModelForSeq2SeqLM.from_pretrained("wilsonmarciliojr/mt5-small-finetuned-en-fr-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
mt5-small-finetuned-en-fr-news / runs /Jan25_22-10-25_cb6404e8ae21 /events.out.tfevents.1737843033.cb6404e8ae21.3207.0
- Xet hash:
- 9acdb23e7a80618bf1236941507729df37ad84e274036434da48c4c40a6328ea
- Size of remote file:
- 5.38 kB
- SHA256:
- d9dbe3615f2724e63fb078cac1d0716e7580d9f853a4bff65a1cf1248b618052
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