Instructions to use sm6342/FinRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sm6342/FinRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sm6342/FinRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sm6342/FinRoberta") model = AutoModelForMaskedLM.from_pretrained("sm6342/FinRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 9 Bytes
ae99431 | 1 2 | "hello" |