Text Classification
Transformers
TensorBoard
Safetensors
English
bert
drugs
classification
text-embeddings-inference
Instructions to use lloydmeta/drug-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lloydmeta/drug-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lloydmeta/drug-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lloydmeta/drug-bert") model = AutoModelForSequenceClassification.from_pretrained("lloydmeta/drug-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a2802ff492f9c11b84e06284cc8fcc80ba23ebda06aab2f1a78921f4f3e7ae5
- Size of remote file:
- 4.86 kB
- SHA256:
- 2059df684c659cdc90e7f05c9bf6d9404811b522bc39c9743ce396fef123bc3b
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