Instructions to use asas-ai/mt5xl_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asas-ai/mt5xl_8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asas-ai/mt5xl_8bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asas-ai/mt5xl_8bit") model = AutoModel.from_pretrained("asas-ai/mt5xl_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ef3138c936bdc209b358a302c26d4e3aa997b1beee66dda6dee67cac6fb7717
- Size of remote file:
- 5.26 GB
- SHA256:
- 9f5863f9b0896a3d171635ec5b817e8919c27526c8d06436cf1e862b7ef0bfb0
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