Text Classification
Transformers
Joblib
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Iloriayomide/my-symptom-checker-biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iloriayomide/my-symptom-checker-biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Iloriayomide/my-symptom-checker-biobert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Iloriayomide/my-symptom-checker-biobert") model = AutoModelForSequenceClassification.from_pretrained("Iloriayomide/my-symptom-checker-biobert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 20
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433338440
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13580bc08969a3c97b38b1606373e54b6ffd26edbddb29f9129b5e6149a59d34
|
| 3 |
size 433338440
|