Instructions to use WindyTranslate/translate-sv-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-sv-bcl 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-sv-bcl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-sv-bcl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-sv-bcl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-sv-bcl, with attribution and change statement
a0daa00 verified - Xet hash:
- faa1ae78e9da8805402fcc9ebbbf3f2b280df61914d23d9338771543543f243d
- Size of remote file:
- 859 kB
- SHA256:
- 934814b9a05c0f471279de20687807c548b57892209efd8a1a6cc9b07cd4886a
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