Instructions to use macedonizer/hr-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macedonizer/hr-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="macedonizer/hr-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("macedonizer/hr-roberta-base") model = AutoModelForMaskedLM.from_pretrained("macedonizer/hr-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
816b11c
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Parent(s): 4ed117a
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf15a1a06f1fd4a2805d9964563d20ef76aecd871e98c52fea44a2193587bad2
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size 334021505
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