Text Classification
Transformers
TensorFlow
TensorBoard
Safetensors
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use PDAP/url-relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDAP/url-relevance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDAP/url-relevance")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDAP/url-relevance") model = AutoModelForSequenceClassification.from_pretrained("PDAP/url-relevance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete runs/DistilBERT/Latest Model/events.out.tfevents.1713923967.kylie-aspiree5553g.917546.0
Browse files
runs/DistilBERT/Latest Model/events.out.tfevents.1713923967.kylie-aspiree5553g.917546.0
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:e9d50451b64aec539c9fd0b1ec039032ddbbb8187da32c71694888e0e54053f2
|
| 3 |
-
size 26454
|
|
|
|
|
|
|
|
|
|
|
|