Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Raychanan/COVID_RandomOver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raychanan/COVID_RandomOver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Raychanan/COVID_RandomOver")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Raychanan/COVID_RandomOver") model = AutoModelForSequenceClassification.from_pretrained("Raychanan/COVID_RandomOver") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 409147757
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5d35d5afa2f3a2f9893a9de8a53b02798f41401cf34ee51dab658d478dc7e70
|
| 3 |
size 409147757
|
runs/Apr15_00-42-01_20f04e145805/events.out.tfevents.1649983357.20f04e145805.76.0
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:a54324e090a7ecbba8d7f9101bd8966c660b171fc39735435367ded9ca576588
|
| 3 |
+
size 12703
|