Instructions to use nbroad/mrasp2-6e6d-no-mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/mrasp2-6e6d-no-mono with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbroad/mrasp2-6e6d-no-mono") model = AutoModelForSeq2SeqLM.from_pretrained("nbroad/mrasp2-6e6d-no-mono", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 6e6d_no_mono.pt from nbroad/mrasp2-6e6d-no-mono: direct link, hf CLI and curl.
- Browser
- Download file 3.47 GB
-
https://huggingface.co/nbroad/mrasp2-6e6d-no-mono/resolve/main/6e6d_no_mono.pt
- Command line
-
hf download hf://nbroad/mrasp2-6e6d-no-mono/6e6d_no_mono.pt
-
curl -L -o 6e6d_no_mono.pt https://huggingface.co/nbroad/mrasp2-6e6d-no-mono/resolve/main/6e6d_no_mono.pt
3.47 GB
- Xet hash:
- febabac0b2903392b403ea834e88f261dcb16cdef650f2144f9121ea8c4e63c7
- Size of remote file:
- 3.47 GB
- SHA256:
- d47355f448020ff9240f588ceb7a3320e1733638d65292233dce513c49a98a79
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