Instructions to use Atnafu/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atnafu/mt5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Atnafu/mt5-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Atnafu/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Atnafu/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79286141ba1ba1cce286ca80e1ccabd8fc140047e0f3c5c69b8aca9ec6643467
- Size of remote file:
- 16.3 MB
- SHA256:
- c6c2f97fbb930263c95d72239fe8f926748b043c41959b07689bf76e023aa678
路
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