Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Pontonkid/Biomed_bert-base-uncased-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pontonkid/Biomed_bert-base-uncased-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Pontonkid/Biomed_bert-base-uncased-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Pontonkid/Biomed_bert-base-uncased-NER") model = AutoModelForTokenClassification.from_pretrained("Pontonkid/Biomed_bert-base-uncased-NER") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 435599164
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1e6e8e2c3f40544d0100e5da2e3458c015d000d4ae91d22ef7e7c77bda74680
|
| 3 |
size 435599164
|
runs/Nov27_17-15-13_0289733fd6c3/events.out.tfevents.1701105421.0289733fd6c3.579.3
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 sha256:828a25d821f59b32ff81ed9547dd2a5fd1bdb508a11fc0c2111ba66be6c067b1
|
| 3 |
+
size 6157
|