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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c62eb30a77757151c8a5f50d5d2c7fc36619a0abed56212aa66cd7287673bbdc
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size 438085208
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