Instructions to use engindemir/mt5_dp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use engindemir/mt5_dp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("engindemir/mt5_dp") model = AutoModelForSeq2SeqLM.from_pretrained("engindemir/mt5_dp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25ab25390f10c02474f2d2bb9fbe38c25bab7d1401e66377502492ccab3e05b7
- Size of remote file:
- 5.3 kB
- SHA256:
- 4bb20712ce9042e036e1024bf943ea3bf74ef2b599bde20c7aafc5039af8786f
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