Instructions to use leoh/roberta-base-8196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoh/roberta-base-8196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leoh/roberta-base-8196")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leoh/roberta-base-8196") model = AutoModel.from_pretrained("leoh/roberta-base-8196", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (b9746903ff10c2bd6ca189db1115554180e925f0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c1c034b
-
Upload config
e852144 -
Upload model
d176658 -
Upload tokenizer
52b8a7f -
initial commit
32aab3b