Instructions to use Forturne/Finbert_TSLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/Finbert_TSLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Forturne/Finbert_TSLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Forturne/Finbert_TSLA") model = AutoModelForSequenceClassification.from_pretrained("Forturne/Finbert_TSLA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f1a15bc0dfa6bbd8f03ae903d460020f813e7334a8e9a94e6f29bdc0feb664b
- Size of remote file:
- 439 MB
- SHA256:
- e708de2c096b25351077dc0370798cb071cec25aa9a768ee2d30d34df43b544c
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