Instructions to use rewicks/baseline_en-de_32k_ep21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rewicks/baseline_en-de_32k_ep21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rewicks/baseline_en-de_32k_ep21") model = AutoModelForSeq2SeqLM.from_pretrained("rewicks/baseline_en-de_32k_ep21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spm.model from rewicks/baseline_en-de_32k_ep21: direct link, hf CLI and curl.
- Browser
- Download file 782 kB
-
https://huggingface.co/rewicks/baseline_en-de_32k_ep21/resolve/main/spm.model
- Command line
-
hf download hf://rewicks/baseline_en-de_32k_ep21/spm.model
-
curl -L -o spm.model https://huggingface.co/rewicks/baseline_en-de_32k_ep21/resolve/main/spm.model
782 kB
- Xet hash:
- df6d6bd90c3483d6ebcdaa5c0d6f63cc0b01f57878cb02d797291018ba33db73
- Size of remote file:
- 782 kB
- SHA256:
- f8b2e354a646cd0bd4d7b2bde1071226b56ce7d5ff913df2f79c310f4eda98ab
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