Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use avuhong/protBERTbfd_AAV2_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avuhong/protBERTbfd_AAV2_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avuhong/protBERTbfd_AAV2_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avuhong/protBERTbfd_AAV2_classification") model = AutoModelForSequenceClassification.from_pretrained("avuhong/protBERTbfd_AAV2_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc19037349ba8abdb20acab3d694b889e67438a76de573b196eace70151375a7
- Size of remote file:
- 1.68 GB
- SHA256:
- 2eabe533b86bdb648ad74ac01a3b9c9cc9322193f121270c46d2c5ed10196900
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