Text Classification
Transformers
TensorBoard
Safetensors
German
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ubffm/academic_text_classifier_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubffm/academic_text_classifier_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ubffm/academic_text_classifier_de")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ubffm/academic_text_classifier_de") model = AutoModelForSequenceClassification.from_pretrained("ubffm/academic_text_classifier_de") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1112211160
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79779f4df29fed0ccef1d855c098d4b979a3f72eae0110691cdf144b22428c50
|
| 3 |
size 1112211160
|
runs/Dec02_14-56-56_89439538ec94/events.out.tfevents.1764687419.89439538ec94.33469.0
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 sha256:190e0f58ed29ab7aba6eab2e5b6335ede410e886cd906324a2919175336ad227
|
| 3 |
+
size 8653
|