Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
chinese
english
web-novel
wuxia
xianxia
lora
hy-mt2
Instructions to use hsilvosa/feishengmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsilvosa/feishengmt 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="hsilvosa/feishengmt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hsilvosa/feishengmt") model = AutoModelForCausalLM.from_pretrained("hsilvosa/feishengmt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Feedback on Translation Quality and Model Selection
1
#1 opened 2 days ago
by
jubair239