Instructions to use seongwoon/labor_space_distil_long_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seongwoon/labor_space_distil_long_token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seongwoon/labor_space_distil_long_token")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seongwoon/labor_space_distil_long_token") model = AutoModelForMaskedLM.from_pretrained("seongwoon/labor_space_distil_long_token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from seongwoon/labor_space_distil_long_token: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/seongwoon/labor_space_distil_long_token/resolve/main/training_args.bin
- Command line
-
hf download hf://seongwoon/labor_space_distil_long_token/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/seongwoon/labor_space_distil_long_token/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- e8a7d5e3bfeabc9721b9f2dde1acd7ba5e2df4f2de3898a34f8b90331a794ba0
- Size of remote file:
- 3.58 kB
- SHA256:
- fb29c947934f4b84d758059b467a33dafb05afe949216a44fe115fa1c050af09
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