Instructions to use DRamos/experimental_topic_classification_GPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRamos/experimental_topic_classification_GPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DRamos/experimental_topic_classification_GPU")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DRamos/experimental_topic_classification_GPU") model = AutoModelForSequenceClassification.from_pretrained("DRamos/experimental_topic_classification_GPU") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1883866293
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64b3ff6094e45d816d37551485488122937c67fb70941ea51d656807578bf9a4
|
| 3 |
size 1883866293
|