Instructions to use dusersad12/TitanLM-FinalRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/TitanLM-FinalRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dusersad12/TitanLM-FinalRepo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dusersad12/TitanLM-FinalRepo") model = AutoModel.from_pretrained("dusersad12/TitanLM-FinalRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dusersad12/TitanLM-FinalRepo: direct link, hf CLI and curl.
- Browser
- Download file 3.2 kB
-
https://huggingface.co/dusersad12/TitanLM-FinalRepo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dusersad12/TitanLM-FinalRepo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dusersad12/TitanLM-FinalRepo/resolve/main/pytorch_model.bin
3.2 kB
- Xet hash:
- 509c6ebc72560e21eb994ff9d1a117f14edbbeb24d2d4ad55e283f94e6fbff8c
- Size of remote file:
- 3.2 kB
- SHA256:
- 83e95af785f0b48590e073b6adc3b910a3a3a2e607620e43fa0b3752e4551520
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