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
Central_Banks_LLM
#4 opened 6 months ago
by
AnirudhaShukla
Central_Banks_LLM
#3 opened 6 months ago
by
AnirudhaShukla
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot