Token Classification
Transformers
PyTorch
TensorFlow
TensorBoard
Safetensors
Russian
bert
PyTorch
Transformers
Instructions to use bond005/rubert-multiconer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/rubert-multiconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bond005/rubert-multiconer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bond005/rubert-multiconer") model = AutoModelForTokenClassification.from_pretrained("bond005/rubert-multiconer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 17
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 709114740
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d66453bc74fd389ecea7737999e21d25e442c52e47d485156d91b0e06c440d55
|
| 3 |
size 709114740
|
runs/Mar28_09-40-24_732080d87218/events.out.tfevents.1711618827.732080d87218.12425.0
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 sha256:82e32a1edce20894f47f361c28e02aae167cdc3654dc795cf37fbd91667216cc
|
| 3 |
+
size 16652
|