Text Classification
Transformers
PyTorch
Safetensors
English
bert
prompt-classification
text-embeddings-inference
Instructions to use jeanvydes/jane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeanvydes/jane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jeanvydes/jane")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jeanvydes/jane") model = AutoModelForSequenceClassification.from_pretrained("jeanvydes/jane") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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 sha256:17c4fc8c3475282bb9f5e7297e4fd0112c4da3c472d4b8a992fc6652ed348b6e
|
| 3 |
+
size 438026603
|