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 tokenizer.json from willieseun/Micro-Learn-Idrisi-Encoder-Decoder2: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/willieseun/Micro-Learn-Idrisi-Encoder-Decoder2/resolve/befd3f142f8820f7b61e12fc8d4fe56887972bcc/tokenizer.json
- Command line
-
hf download hf://willieseun/Micro-Learn-Idrisi-Encoder-Decoder2@befd3f142f8820f7b61e12fc8d4fe56887972bcc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/willieseun/Micro-Learn-Idrisi-Encoder-Decoder2/resolve/befd3f142f8820f7b61e12fc8d4fe56887972bcc/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.