Instructions to use turing-usp/FinBertPTBR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use turing-usp/FinBertPTBR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="turing-usp/FinBertPTBR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("turing-usp/FinBertPTBR") model = AutoModelForSequenceClassification.from_pretrained("turing-usp/FinBertPTBR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0ddd226601bf3b3a2a9890d5012d6e6eaf41a55c808d14ec66dee41f6c561b0
- Size of remote file:
- 436 MB
- SHA256:
- 3f718eb859b18b947133e3fa15db264446b4d787b0a60f31b8cb6ffbf41e27f9
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