Instructions to use 5cean/soeul_works with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5cean/soeul_works with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="5cean/soeul_works")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("5cean/soeul_works") model = AutoModelForSequenceClassification.from_pretrained("5cean/soeul_works", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from 5cean/soeul_works: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/5cean/soeul_works/resolve/main/tokenizer.json
- Command line
-
hf download hf://5cean/soeul_works/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/5cean/soeul_works/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- 31e95ebd5eb1467188ab9d7c556d423e1e59206e77aee17d765f6653e42b4737
- Size of remote file:
- 2.11 MB
- SHA256:
- a8d6b8f1c0016535793387df8c2f39ab70e15a00237af3dae658fe7e0ce2378c
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