Instructions to use WindyTranslate/translate-mfs-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-mfs-es 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="WindyTranslate/translate-mfs-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-mfs-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-mfs-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-mfs-es, with attribution and change statement
5eede85 verified - Xet hash:
- ff2bef2dc49d17758282fbb15d1c3f57c8e66c5277aed7545bdd360a91626000
- Size of remote file:
- 780 kB
- SHA256:
- 63cf3e1935eccc43f09c10a1602cd747fe4370feaf92c60ecfcf3d12180ec2b6
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