Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pilotj/distil-bert-tweaking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pilotj/distil-bert-tweaking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pilotj/distil-bert-tweaking")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pilotj/distil-bert-tweaking") model = AutoModelForSequenceClassification.from_pretrained("pilotj/distil-bert-tweaking") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267906392
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40b296e32c0e90ff40ab553ba7c6122ea0636f3175a320b2ee7fd6c6617db7ee
|
| 3 |
size 267906392
|
runs/Sep28_10-39-30_7b554403b730/events.out.tfevents.1727519976.7b554403b730.30.4
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 sha256:6109062260c44743e973ec9ef6c7a82f5a5c9317b15060aa16699e62a8d866b4
|
| 3 |
+
size 7012
|