Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ludo33/e5_Dechets_MultiLabel_11082025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ludo33/e5_Dechets_MultiLabel_11082025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ludo33/e5_Dechets_MultiLabel_11082025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ludo33/e5_Dechets_MultiLabel_11082025") model = AutoModelForSequenceClassification.from_pretrained("Ludo33/e5_Dechets_MultiLabel_11082025") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2239643272
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:927394df9ddb1f9d035710868f02f4b31134b8259f0820bb0e91b3fd422b063e
|
| 3 |
size 2239643272
|
runs/Aug11_07-29-24_b04dc9864c63/events.out.tfevents.1754897368.b04dc9864c63.167.0
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:e8065627adf33cebc8543babe2e7a46abbb12166674797a4c49a3ff998ebd046
|
| 3 |
+
size 11730
|