Instructions to use seongwoon/labor_space_bert_non_firm_without_split_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seongwoon/labor_space_bert_non_firm_without_split_token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seongwoon/labor_space_bert_non_firm_without_split_token")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seongwoon/labor_space_bert_non_firm_without_split_token") model = AutoModelForMaskedLM.from_pretrained("seongwoon/labor_space_bert_non_firm_without_split_token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from seongwoon/labor_space_bert_non_firm_without_split_token: direct link, hf CLI and curl.
- Browser
- Download file 3 kB
-
https://huggingface.co/seongwoon/labor_space_bert_non_firm_without_split_token/resolve/main/training_args.bin
- Command line
-
hf download hf://seongwoon/labor_space_bert_non_firm_without_split_token/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/seongwoon/labor_space_bert_non_firm_without_split_token/resolve/main/training_args.bin
3 kB
- Xet hash:
- 11be70a7519a633934883f7dc6d9f968f28866b0907d33e875b2973a969793e5
- Size of remote file:
- 3 kB
- SHA256:
- 79ca97d6a1ae7323903178e98d657cccf680e06ad9e7b78f46951ff55867f462
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