Instructions to use sehilnlf/model_v1e_5_8_8_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sehilnlf/model_v1e_5_8_8_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sehilnlf/model_v1e_5_8_8_4") model = AutoModelForSeq2SeqLM.from_pretrained("sehilnlf/model_v1e_5_8_8_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 137f67e250dfe1be450b9419ea592bb87b78f88cebd9a1aee9e2da5f3fc7e0b8
- Size of remote file:
- 1.63 GB
- SHA256:
- 36c98fe37cd55d3778c5bf00e50f049d1d930042f089ade270e2f6af7d379984
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