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
- Xet hash:
- 54d8242e303328695e638ef9c078c95620358f12a20c5edf9cbc01a2625846b2
- Size of remote file:
- 334 MB
- SHA256:
- 3eb18fd827af51b0597ee53bbbb854154730630e4873125f3af1cc04aa33bf09
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