Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use devinitorg/cdp-multi-classifier-weighted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devinitorg/cdp-multi-classifier-weighted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devinitorg/cdp-multi-classifier-weighted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devinitorg/cdp-multi-classifier-weighted") model = AutoModelForSequenceClassification.from_pretrained("devinitorg/cdp-multi-classifier-weighted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 672711684
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bb65758fb22d7393e796262ec9daeabbe266bd4c91354cf86b1faf3399ab524
|
| 3 |
size 672711684
|
runs/May01_14-32-05_193-122-186-77/events.out.tfevents.1714573926.193-122-186-77.3040.0
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 sha256:7960c6943c561a2fb15e07e0cbad949b2e2a63ca8be8887cdc14fc7209b3b8a2
|
| 3 |
+
size 7864
|