Translation
Transformers
Safetensors
gemma3_text
text-generation
subtitles
compressed-tensors
nvfp4
vllm
text-generation-inference
8-bit precision
Instructions to use henry1477/translategemma-27b-it-NVFP4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henry1477/translategemma-27b-it-NVFP4A16 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="henry1477/translategemma-27b-it-NVFP4A16")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("henry1477/translategemma-27b-it-NVFP4A16") model = AutoModelForCausalLM.from_pretrained("henry1477/translategemma-27b-it-NVFP4A16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "eos_token_id": [1, 106], | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.57.3" | |
| } | |