Instructions to use sshleifer/bart-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/bart-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/bart-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/bart-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from sshleifer/bart-tiny-random: direct link, hf CLI and curl.
- Browser
- Download file 5.3 MB
-
https://huggingface.co/sshleifer/bart-tiny-random/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://sshleifer/bart-tiny-random@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/sshleifer/bart-tiny-random/resolve/refs%2Fpr%2F1/flax_model.msgpack
5.3 MB
- Xet hash:
- 7fb50c4096a894129907ee09eead60fb107b1c616e8b4f582d4c6c009e6b0414
- Size of remote file:
- 5.3 MB
- SHA256:
- 926ef3713c6164160735eb4e9c3beb886634a94b78b8bedbf65cfeb869878096
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