Instructions to use LangTech-MT/salamandraTA-7b-instruct-WMT25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LangTech-MT/salamandraTA-7b-instruct-WMT25 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="LangTech-MT/salamandraTA-7b-instruct-WMT25")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LangTech-MT/salamandraTA-7b-instruct-WMT25") model = AutoModelForCausalLM.from_pretrained("LangTech-MT/salamandraTA-7b-instruct-WMT25") - Notebooks
- Google Colab
- Kaggle
Update license
#3
by fdelucaf - opened
No description provided.
fdelucaf changed pull request status to merged