Instructions to use sshleifer/student_enro_sum_12_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_enro_sum_12_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_enro_sum_12_1") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_enro_sum_12_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sshleifer/student_enro_sum_12_1: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/sshleifer/student_enro_sum_12_1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sshleifer/student_enro_sum_12_1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sshleifer/student_enro_sum_12_1/resolve/main/pytorch_model.bin
1.22 GB
- Xet hash:
- f885e65ef6d8f854c6e512ee4e4a4e6d5d9830908baf08cdfa9519702fa38b52
- Size of remote file:
- 1.22 GB
- SHA256:
- 77bf6a1d5720f5e958756653a17cfc1fc16bc17b6e248e80175e73993a9da1bb
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