Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use intermezzo672/NHS-bert-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intermezzo672/NHS-bert-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intermezzo672/NHS-bert-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intermezzo672/NHS-bert-multi") model = AutoModelForSequenceClassification.from_pretrained("intermezzo672/NHS-bert-multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d157d32826b744110b4b9fed9205f2c40ad46a46806ad338526b03a71f42f695
- Size of remote file:
- 4.92 kB
- SHA256:
- e8cf6a40aad415696d27b1534e8ec3fe0cd9bd5b40cd4004af12cdc1bb7a05ae
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