Instructions to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use conorgee/HomophobicClassfication_roberta-large_fineTuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="conorgee/HomophobicClassfication_roberta-large_fineTuned_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model") model = AutoModelForSequenceClassification.from_pretrained("conorgee/HomophobicClassfication_roberta-large_fineTuned_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1421495416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21a76f5b551274f0322953f3902a83517657ad6cebb5472f7efab75490882544
|
| 3 |
size 1421495416
|
runs/Mar20_11-53-16_6bfb7667665f/events.out.tfevents.1710935597.6bfb7667665f.19576.0
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 sha256:929799a7d1f69c70921e68fa7a1df21469c138985d70e62843bf3b866bb65878
|
| 3 |
+
size 7525
|