Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
noesis
noesis-dub-lm
dhcf-fno
amaimedia
sft
qlora
nf4
hunyuan
hy-mt2
tencent
dub-lm
live-voice-translate
bitsandbytes
4bit
quantized
4-bit precision
Instructions to use AMAImedia/NOESIS-Hy-MT2-1.8B-NF4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMAImedia/NOESIS-Hy-MT2-1.8B-NF4 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-MT2-1.8B-NF4")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AMAImedia/NOESIS-Hy-MT2-1.8B-NF4") model = AutoModelForCausalLM.from_pretrained("AMAImedia/NOESIS-Hy-MT2-1.8B-NF4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 237 Bytes
c3fdc43 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"bos_token_id": 120000,
"do_sample": true,
"eos_token_id": 120020,
"pad_token_id": 120002,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.10.0.dev0"
}
|