Text Classification
Transformers
TensorFlow
English
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use gopiashokan/Financial-Document-Classification-using-Deep-Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gopiashokan/Financial-Document-Classification-using-Deep-Learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gopiashokan/Financial-Document-Classification-using-Deep-Learning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gopiashokan/Financial-Document-Classification-using-Deep-Learning") model = AutoModelForSequenceClassification.from_pretrained("gopiashokan/Financial-Document-Classification-using-Deep-Learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef4fe6a034c351b78975b8af9e5022772a42c9270aabf3d77e50750953258c39
- Size of remote file:
- 439 MB
- SHA256:
- 2bd7b4bd844fc4d9a40317d18960e17ab4d734f4693e912792bd49bc6b083984
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