Instructions to use research-dump/bert_base_temp_classifier_boot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/bert_base_temp_classifier_boot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/bert_base_temp_classifier_boot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/bert_base_temp_classifier_boot") model = AutoModelForSequenceClassification.from_pretrained("research-dump/bert_base_temp_classifier_boot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3f58c65
1
Parent(s): a3dff12
Upload BertForSequenceClassification
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 433335413
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87f6100a66db1888a3076930de71f94301d713444c94c6eca2fa5312d43e9df2
|
| 3 |
size 433335413
|