Instructions to use Vrushali/model_abv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model_abv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Vrushali/model_abv")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Vrushali/model_abv") model = AutoModelForTokenClassification.from_pretrained("Vrushali/model_abv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 16
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 431488749
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76a7cf221fd9715103d56b63cc3734a9835e867c50b021d1e282b9f2d6d4efba
|
| 3 |
size 431488749
|
runs/Jul01_10-54-23_88eb04906cb8/events.out.tfevents.1688208991.88eb04906cb8.24763.0
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 sha256:610104abb65b306f0b342891a34776f3f7dae16c467e76a33f9bed185418af87
|
| 3 |
+
size 11526
|