Fill-Mask
Transformers
Safetensors
English
roberta
NLP
RoBERTa
FinTwitBERT
FinTwitRoBERTa
finance
financial-analysis
sentiment
financial-sentiment-analysis
twitter
tweets
tweet-analysis
stocks
stock-market
crypto
cryptocurrency
Eval Results (legacy)
Instructions to use StephanAkkerman/FinTwitRoBERTa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StephanAkkerman/FinTwitRoBERTa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="StephanAkkerman/FinTwitRoBERTa-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("StephanAkkerman/FinTwitRoBERTa-large") model = AutoModelForMaskedLM.from_pretrained("StephanAkkerman/FinTwitRoBERTa-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K