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
Download tokenizer.model from SEE7/AstheralTranslate: direct link, hf CLI and curl.
- Browser
- Download file 2.41 MB
-
https://huggingface.co/SEE7/AstheralTranslate/resolve/main/tokenizer.model
- Command line
-
hf download hf://SEE7/AstheralTranslate/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/SEE7/AstheralTranslate/resolve/main/tokenizer.model
2.41 MB
- Xet hash:
- 3a151a4e1e52fc6f5144f999ababc71426ed8c53efc55d25ea37a51f9979aee0
- Size of remote file:
- 2.41 MB
- SHA256:
- 42957aec88804838805b335da1bbcce9d116024a20c6c4b56757648b9e348254
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