Translation
Transformers
Safetensors
English
Chinese
llama
text-generation
minicpm
english-to-chinese
immersive-translate
lora
fine-tuned
text-generation-inference
Instructions to use Variable65536/minicpm5-1b-immersive-translate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Variable65536/minicpm5-1b-immersive-translate 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="Variable65536/minicpm5-1b-immersive-translate")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Variable65536/minicpm5-1b-immersive-translate") model = AutoModelForCausalLM.from_pretrained("Variable65536/minicpm5-1b-immersive-translate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K