Translation
Transformers
Safetensors
Russian
Lezghian
mt5
text2text-generation
lezghian
caucasus
mt5-base
Instructions to use leks-forever/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leks-forever/mt5-base 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="leks-forever/mt5-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leks-forever/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("leks-forever/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9304653408182641e73e29e71ea15fa4faa9c506ba3630ac303c5e87aade3cde
- Size of remote file:
- 16.4 MB
- SHA256:
- b6a6e2f95878b7e35e0b7cfec459bbf386351c955adbe0cc08f6ac6a3cf02347
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