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:
- b1cd6041428446c1ae3c4afeef1e4faab93318d8e1020158a44c7b49cd21957e
- Size of remote file:
- 3.12 kB
- SHA256:
- 79ae969c7268dff69367579e5a6e2c587d8ae6909fcd22ba3938470de618c843
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