Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use DayCardoso/modernbert-base-multi-head-values-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/modernbert-base-multi-head-values-context with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/modernbert-base-multi-head-values-context")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/modernbert-base-multi-head-values-context") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/modernbert-base-multi-head-values-context", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8437
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 598556596
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d051f788990f489cac8c93483ecf9cb454780ea3ecc7087b1be7e4de5b68888
|
| 3 |
size 598556596
|