Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use FareehaAly/fator-argument-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FareehaAly/fator-argument-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FareehaAly/fator-argument-quality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FareehaAly/fator-argument-quality") model = AutoModelForSequenceClassification.from_pretrained("FareehaAly/fator-argument-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
FATOR argument quality model - FYP final
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267835644
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:671b52ce118327ebce28dc81d0f29a04bc489676a94a7f56e2fd78556eec969f
|
| 3 |
size 267835644
|