Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DeeeTeeee01/mytest_trainer_roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeeeTeeee01/mytest_trainer_roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DeeeTeeee01/mytest_trainer_roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DeeeTeeee01/mytest_trainer_roberta-base") model = AutoModelForSequenceClassification.from_pretrained("DeeeTeeee01/mytest_trainer_roberta-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b06a543e25fa70f6196f6264488b0b7ed94f74136f64ec4bb3c928b9dde9d31
|
| 3 |
+
size 498615900
|