Instructions to use od2025/eclipse_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use od2025/eclipse_code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="od2025/eclipse_code")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("od2025/eclipse_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from od2025/eclipse_code: direct link, hf CLI and curl.
- Browser
- Download file 3.51 GB
-
https://huggingface.co/od2025/eclipse_code/resolve/main/model.safetensors
- Command line
-
hf download hf://od2025/eclipse_code/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/od2025/eclipse_code/resolve/main/model.safetensors
3.51 GB
- Xet hash:
- f1053a7af5a3c41362a22d1077c6e0a98e297b8c5c6675d4b06ede2b653a8b54
- Size of remote file:
- 3.51 GB
- SHA256:
- 2e59a174a489a000773b032f376c819fa26e720764020d268a0c63c77c1367c7
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