Instructions to use Theoreticallyhugo/bert-ner-essays-label_span with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/bert-ner-essays-label_span with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/bert-ner-essays-label_span")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/bert-ner-essays-label_span") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/bert-ner-essays-label_span", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430911284
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:582eb75d677ca53df2db52fa6154a93e6e7f7808ec59dd7821bddf35453ef789
|
| 3 |
size 430911284
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4664
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a3ce4adc90adf4fc5045d0c46f74afd95c45fb7604e0efcbb8e781ed8d5c5a4
|
| 3 |
size 4664
|