Instructions to use distilbert/distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilroberta-base") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilroberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Adds the tokenizer configuration file
#4
by lysandre HF Staff - opened
The tokenizer configuration file is missing and therefore leading to unforeseen errors after the migration of the canonical models.
Refer to the following issue for moreinformation: transformers#29050
lysandre changed pull request status to open
lysandre changed pull request status to merged