Instructions to use Drigoro/distilbert_mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Drigoro/distilbert_mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Drigoro/distilbert_mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Drigoro/distilbert_mini") model = AutoModelForSequenceClassification.from_pretrained("Drigoro/distilbert_mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 16
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267844872
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c45d26da6ace33f1a8d1702620acde2c58832310f430b5e765ad35375af00f9a
|
| 3 |
size 267844872
|
runs/Jun16_17-11-49_3161d2e254b5/events.out.tfevents.1718557910.3161d2e254b5.3819.0
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:aa8d3a20534494ccbd0e836942965e268dee7350b6788559cfcc24a2ebd2f78c
|
| 3 |
+
size 10071
|