Instructions to use FacebookAI/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Add link to Neuron-optimized version
#13 opened 9 months ago
by
badaoui
[AUTOMATED] Model Memory Requirements
#10 opened over 2 years ago
by
model-sizer-bot
I can't download or use Roberta-base?
#9 opened almost 3 years ago
by
gg7878
Shouldn't model.tensors have the LM head like pytorch_model.bin does?
1
#8 opened almost 3 years ago
by
DrRayStorm
Add tokenizer_config.json and special_tokens_map.json
#7 opened about 3 years ago
by
Xenova
Request: DOI
#5 opened about 3 years ago
by
emilylearning
Replicating RoBERTa-base GLUE results
👍 2
2
#1 opened almost 4 years ago
by
marklee