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 14500
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:f85f528baf652989b7d6cb99e759cfea0ac90bbb0e57399ec9ad69c1d255cc6c
|
| 3 |
size 45319309
|
runs/Jun04_11-54-56_28e0a7a0ac7e/events.out.tfevents.1654344562.28e0a7a0ac7e.81.0
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 sha256:5da5909fa0b928006e92370f116f972132421b6bc5d60fbb5bfd5d08062ac35d
|
| 3 |
+
size 9265
|