Instructions to use huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated 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="huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated") model = AutoModelForCausalLM.from_pretrained("huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfef4c7f7e2b2a5f2861accf38b3c75ffe357d3690e05dfba93a50ac3f099868
- Size of remote file:
- 117 MB
- SHA256:
- fa7c25a10ca227ff3283722b00f55dfaf332e8c27f2ea444d0118fb23acaaf22
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