Translation
Transformers
Safetensors
mistral
text-generation
Merge
mergekit
lazymergekit
google-bert/bert-base-uncased
rifkat/uztext-3Gb-BPE-Roberta
text-generation-inference
Instructions to use nagayama0706/translation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nagayama0706/translation_model 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="nagayama0706/translation_model")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nagayama0706/translation_model") model = AutoModelForCausalLM.from_pretrained("nagayama0706/translation_model") - Notebooks
- Google Colab
- Kaggle
Ctrl+K