Text Classification
Transformers
Safetensors
bert
Trained with AutoTrain
protein-classification
protbert
antiobiotic-resistance
text-embeddings-inference
Instructions to use as-cle-bert/resistBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use as-cle-bert/resistBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="as-cle-bert/resistBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("as-cle-bert/resistBERT") model = AutoModelForSequenceClassification.from_pretrained("as-cle-bert/resistBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e5e2226d119fb26c6a9ba0279c2a252851bce28f253e0c84209624c1066ed8b
- Size of remote file:
- 4.92 kB
- SHA256:
- a181d426a846aed31d185c1c8e7462bde216a5de70b47a96fc82542bdb87ea9d
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