Instructions to use h3110Fr13nd/guj-eng-code-switch-bert-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h3110Fr13nd/guj-eng-code-switch-bert-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="h3110Fr13nd/guj-eng-code-switch-bert-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("h3110Fr13nd/guj-eng-code-switch-bert-multilingual") model = AutoModelForTokenClassification.from_pretrained("h3110Fr13nd/guj-eng-code-switch-bert-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload TensorBoard logs
Browse files
tensorboard_logs/events.out.tfevents.1763832458.f0da10c9a12b.20205.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46869536031ea076d8eb629c102ac488053f5ea08a40cd48028c8ee38f9e3bf3
|
| 3 |
+
size 10574
|
tensorboard_logs/events.out.tfevents.1763832718.f0da10c9a12b.20205.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c2300a2521fe1425ed5c8116da03c9736c28da352ad932d5e36d5b0e774ca62
|
| 3 |
+
size 1032
|