Instructions to use cuadron11/bsc-bio-ehr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/bsc-bio-ehr-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/bsc-bio-ehr-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/bsc-bio-ehr-es") model = AutoModelForTokenClassification.from_pretrained("cuadron11/bsc-bio-ehr-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 496299053
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df238dd05aa2d27f4401e8e3aa4dbfb0c244762418415a5c6010969d0e3ecb05
|
| 3 |
size 496299053
|
runs/Mar16_20-36-16_3660b4b50e47/events.out.tfevents.1678999456.3660b4b50e47.238.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cc37f8a32c64a15ea73bb06038bed0d02c24fc00aa158061831b32a498c381b
|
| 3 |
+
size 8598
|