Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-pubmedbert-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-pubmedbert-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-pubmedbert-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-pubmedbert-binary") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-pubmedbert-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b74190429b9d2c0aa753d885b77339460524ee5526fbf984fb15ea763bad9ff8
- Size of remote file:
- 4.92 kB
- SHA256:
- b2b8b81e2b186ed9274e33099ba17b3364de9d6c6864b4e54b0f89c3539ee943
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