Instructions to use KejueAI/echo-v0_1_2-32b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KejueAI/echo-v0_1_2-32b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KejueAI/echo-v0_1_2-32b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KejueAI/echo-v0_1_2-32b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KejueAI/echo-v0_1_2-32b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/KejueAI/echo-v0_1_2-32b/resolve/main/tokenizer.json
- Command line
-
hf download hf://KejueAI/echo-v0_1_2-32b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KejueAI/echo-v0_1_2-32b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d62ca7c0ed643ec065af366121e1e16fe93df1c50e2b9350b2e4b6254b6042ce
- Size of remote file:
- 11.4 MB
- SHA256:
- 0422f49acb9b2b8861f8a8c9fc5883758d7be3e805fdc014ade10478ea8fb1c9
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