Instructions to use gokceuludogan/turna_tr_hateprint_5e6_w0.1_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokceuludogan/turna_tr_hateprint_5e6_w0.1_ with Transformers:
# Load model directly from transformers import AutoTokenizer, T5ForClassification tokenizer = AutoTokenizer.from_pretrained("gokceuludogan/turna_tr_hateprint_5e6_w0.1_") model = T5ForClassification.from_pretrained("gokceuludogan/turna_tr_hateprint_5e6_w0.1_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38108b7d7e58ce12040b549f63086c307e9ed189206d1186488d7c09cee41203
- Size of remote file:
- 1.98 GB
- SHA256:
- 674186c52f2bfe51e8ae9c6f3fde247723c5efc2f2c93349ef5d96632598fdbe
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