Instructions to use research-backup/mt5-base-trimmed-it-75000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mt5-base-trimmed-it-75000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-it-75000") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-it-75000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a9dba4faf83452d44f18119738b70203215a93df6575ce1e4e054c542cdf2f5
- Size of remote file:
- 1.25 GB
- SHA256:
- dc1072ad77b4d53f117ffdbff6618cedc3689d784c11573c96e79e43ba306721
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