Instructions to use gotutiyan/IMPARA-QE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gotutiyan/IMPARA-QE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gotutiyan/IMPARA-QE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gotutiyan/IMPARA-QE") model = AutoModelForSequenceClassification.from_pretrained("gotutiyan/IMPARA-QE", device_map="auto") - 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:ac52b7ccbb36af989e086bab91744eb6157b0fca86bf9b39a0ec5d93db9dfcc3
|
| 3 |
+
size 433271876
|