Instructions to use kktoto/wwdd_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/wwdd_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/wwdd_tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/wwdd_tiny") model = AutoModelForTokenClassification.from_pretrained("kktoto/wwdd_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 45319309
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cb7e62fcc3d59431e49f95a18d4e16bd32e13080894f8d26c993ccc6c0d00bb4
|
| 3 |
size 45319309
|
runs/Jun04_11-31-55_0f06ab364165/1654342360.0073144/events.out.tfevents.1654342360.0f06ab364165.79.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80790ae0e284316c5bb78277799473aa70b352a3e9209955f93edbb6daf5ac85
|
| 3 |
+
size 5136
|
runs/Jun04_11-31-55_0f06ab364165/events.out.tfevents.1654342359.0f06ab364165.79.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3610f3c412c13da3fe829a2220abee2208e6d0bc66d23bdaa2ef4c87526e9510
|
| 3 |
+
size 3925
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3183
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f73004098debb8d2d769cec16cec31484198fc9261a43c3072af2ada7c96c5ee
|
| 3 |
size 3183
|