Instructions to use research-dump/roberta-base_temp_classifier_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/roberta-base_temp_classifier_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/roberta-base_temp_classifier_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-base_temp_classifier_v2") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-base_temp_classifier_v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
a04af42
1
Parent(s): 2421ad2
Upload RobertaForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498677429
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40853ec1eb0f115384da4a9759d0c0679a7f5913dc99d2f9fccdbeb805765e1f
|
| 3 |
size 498677429
|