Instructions to use nzindoc/study-dictionary-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nzindoc/study-dictionary-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nzindoc/study-dictionary-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nzindoc/study-dictionary-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("nzindoc/study-dictionary-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5209ace | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:67a8bffb8f3f76204e194b577c33d4f52132a56bf8974ccbc3496217822268d2
size 4091
|