Text Classification
Transformers
PyTorch
English
roberta
finance
hawkish-dovish-classification
text-embeddings-inference
Instructions to use gtfintechlab/FOMC-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gtfintechlab/FOMC-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gtfintechlab/FOMC-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gtfintechlab/FOMC-RoBERTa") model = AutoModelForSequenceClassification.from_pretrained("gtfintechlab/FOMC-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Access request for non-commercial academic research
#6
by nocccp - opened
Dear FOMC-RoBERTa team,
I submitted an access request for the FOMC-RoBERTa model on July 11, but the request is still pending.
I plan to use the model solely for non-commercial academic research in my master's thesis on Federal Reserve communication and China's gold futures market.
I would be very grateful if you could review my request when convenient. My Hugging Face username is wjzhen.
Thank you very much for your time.
PLEASE DO NOT SUBMIT a discussion thread if it has been less than 14 days since you requested access.
Your request is approved.
shahagam4 changed discussion status to closed