Instructions to use dbernsohn/roberta-php with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbernsohn/roberta-php with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbernsohn/roberta-php")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbernsohn/roberta-php") model = AutoModelForMaskedLM.from_pretrained("dbernsohn/roberta-php") - Notebooks
- Google Colab
- Kaggle
Commit ·
ad623d4
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Parent(s): 8089020
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 sha256:12c91b72ce5d99d934724ff501269fb15786fdf9ac9520c718718caadb407f17
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size 334021505
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