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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from dbernsohn/roberta-php: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/dbernsohn/roberta-php/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://dbernsohn/roberta-php/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/dbernsohn/roberta-php/resolve/main/flax_model.msgpack
334 MB
- Xet hash:
- 51b137a3943cc166e72f5062d72232f1ab121661fe6145c0f36fad24ae978246
- Size of remote file:
- 334 MB
- SHA256:
- 12c91b72ce5d99d934724ff501269fb15786fdf9ac9520c718718caadb407f17
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