Instructions to use imamnurby/RoBERTduino_uncased_w_methods with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imamnurby/RoBERTduino_uncased_w_methods with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="imamnurby/RoBERTduino_uncased_w_methods")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("imamnurby/RoBERTduino_uncased_w_methods") model = AutoModel.from_pretrained("imamnurby/RoBERTduino_uncased_w_methods", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
b86041c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:efb3db281eee4153728dab7b1e0c62ef3ea7d00d688807c5e73089c8f56fc5fb
size 498654327
|