Instructions to use pingkeest/newly_fine_tuned_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pingkeest/newly_fine_tuned_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pingkeest/newly_fine_tuned_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pingkeest/newly_fine_tuned_bert") model = AutoModelForSequenceClassification.from_pretrained("pingkeest/newly_fine_tuned_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2760
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438189348
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e450b83f926de10c797d45c7cfa47dc0f6dd0f4659a2110956e8487495b6d1f9
|
| 3 |
size 438189348
|
runs/Jan20_16-17-17_PingkeePC/events.out.tfevents.1737361040.PingkeePC
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b9c53f9655389de02668416a0e753bfd5c02229d455d467fd5ea6f5fc4e2678
|
| 3 |
+
size 20018
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5176
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:875a6e2fffca7c067d4aa626ac0a91866799ccb48e29d3c6c5d244b0f6af80a4
|
| 3 |
size 5176
|