Instructions to use ChatrealAI/Hunyuan-MT-Chimera-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChatrealAI/Hunyuan-MT-Chimera-7B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="ChatrealAI/Hunyuan-MT-Chimera-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ChatrealAI/Hunyuan-MT-Chimera-7B") model = AutoModelForCausalLM.from_pretrained("ChatrealAI/Hunyuan-MT-Chimera-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ChatrealAI/Hunyuan-MT-Chimera-7B: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/ChatrealAI/Hunyuan-MT-Chimera-7B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ChatrealAI/Hunyuan-MT-Chimera-7B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ChatrealAI/Hunyuan-MT-Chimera-7B/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- 3b305e7b8e5cdcfc56115d8461028c4e92b132b257c83d2428bcd3b146d2f9e8
- Size of remote file:
- 16.4 MB
- SHA256:
- 4185389a69284fdd3ebf737c6120bbeee36cbed9763151fa5bac5986a39e05d4
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