Text Classification
Transformers
PyTorch
English
medicoder_complete
medical
healthcare
clinical-notes
medical-coding
few-shot-learning
prototypical-networks
deployment-ready
self-contained
Instructions to use sshan95/medicoder-ai-v4-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshan95/medicoder-ai-v4-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sshan95/medicoder-ai-v4-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sshan95/medicoder-ai-v4-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb42b4aae406d7334032f52d29acd3339b1707b214969e55bab3ef38e6cfd0bc
|
| 3 |
+
size 445143868
|