Instructions to use willieseun/Micro-Learn-Idrisi-Encoder-Decoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willieseun/Micro-Learn-Idrisi-Encoder-Decoder2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="willieseun/Micro-Learn-Idrisi-Encoder-Decoder2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("willieseun/Micro-Learn-Idrisi-Encoder-Decoder2") model = AutoModel.from_pretrained("willieseun/Micro-Learn-Idrisi-Encoder-Decoder2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from willieseun/Micro-Learn-Idrisi-Encoder-Decoder2: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/willieseun/Micro-Learn-Idrisi-Encoder-Decoder2/resolve/main/model.safetensors
- Command line
-
hf download hf://willieseun/Micro-Learn-Idrisi-Encoder-Decoder2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/willieseun/Micro-Learn-Idrisi-Encoder-Decoder2/resolve/main/model.safetensors
1.33 GB
- Xet hash:
- 4a7e71ebbdcfcfdc40f7abe60b53f9b1c1e552ef98251c631cacc7aa086d96e7
- Size of remote file:
- 1.33 GB
- SHA256:
- 5606ac30094eef69f47c7a041cc8dda540269f1dbf526da96861a79879971865
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