Translation
Transformers
Safetensors
llama
text-generation
multilingual
lora
astheraltranslate
text-generation-inference
Instructions to use SEE7/AstheralTranslate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEE7/AstheralTranslate 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="SEE7/AstheralTranslate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SEE7/AstheralTranslate") model = AutoModelForCausalLM.from_pretrained("SEE7/AstheralTranslate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
-
Remove generic disclaimers; retain model facts and measured-result links
Verified signature8e0f131
2 days ago
-
Record passing five-language live API and browser deployment tests
Verified signature2c5fc66 -
Finalize reproducible license acquisition, pin adapter parent and preserve upstream attribution
Verified signaturecaefe89 -
Publish AstheralTranslate model card with actual training and translation scores
Verified signaturef9e5dcb -
Include Apache 2.0 license text for EuroLLM-derived weights
Verified signature6fa11b3 -
Publish translation training provenance and before/after test outputs
Verified signature656ef99 -
Publish trained rank32 translation adapter
Verified signature8c73674 -
Publish actual merged AstheralTranslate weights after reload and translation evaluation
Verified signature8208020 -
initial commit
Verified signature3e3ae44