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 model/tokenizer.json from SEE7/AstheralTranslate: direct link, hf CLI and curl.
- Browser
- Download file 15.8 MB
-
https://huggingface.co/SEE7/AstheralTranslate/resolve/main/model/tokenizer.json
- Command line
-
hf download hf://SEE7/AstheralTranslate/model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SEE7/AstheralTranslate/resolve/main/model/tokenizer.json
15.8 MB
- Xet hash:
- 2f9bccaa38f98719bce562e3c6501bf08d8ef63074ea2344d6079bf0358b80dc
- Size of remote file:
- 15.8 MB
- SHA256:
- d6e4810e827e4ffcd735429d19d585326bb4efb31e921cb870ecefc4c1fa16e3
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