Text Classification
Transformers
PyTorch
Safetensors
English
bert
bert-base-uncased
disease
medical
text-embeddings-inference
Instructions to use shanover/symps_disease_bert_v3_c41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shanover/symps_disease_bert_v3_c41 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shanover/symps_disease_bert_v3_c41", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shanover/symps_disease_bert_v3_c41") model = AutoModelForSequenceClassification.from_pretrained("shanover/symps_disease_bert_v3_c41", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Communityhealth
#3 opened 5 months ago
by
abishekalagu07
Inquiry about Dataset used?
#2 opened about 1 year ago
by
Hafsa-03