Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
noesis
noesis-dub-lm
dhcf-fno
amaimedia
sft
qlora
bf16
hunyuan
hy-mt2
tencent
dub-lm
live-voice-translate
Instructions to use AMAImedia/NOESIS-Hy-MT2-7.5B-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMAImedia/NOESIS-Hy-MT2-7.5B-BF16 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="AMAImedia/NOESIS-Hy-MT2-7.5B-BF16")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AMAImedia/NOESIS-Hy-MT2-7.5B-BF16") model = AutoModelForCausalLM.from_pretrained("AMAImedia/NOESIS-Hy-MT2-7.5B-BF16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ba6e9ad7b1d2e3c2a677ac37316b2fd6bbc3653861fc575c09f80fd5ea7c174
- Size of remote file:
- 15 GB
- SHA256:
- 1a0b54fbb112b2390a145387c08a1664db7e5d030132d6f87b90e3ecb2fe9725
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