Instructions to use research-dump/distilbert_base_cased_temp_classifier_bootstrapped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/distilbert_base_cased_temp_classifier_bootstrapped with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/distilbert_base_cased_temp_classifier_bootstrapped")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/distilbert_base_cased_temp_classifier_bootstrapped") model = AutoModelForSequenceClassification.from_pretrained("research-dump/distilbert_base_cased_temp_classifier_bootstrapped") - Notebooks
- Google Colab
- Kaggle
Commit ·
8de7416
1
Parent(s): 4b07fb1
Upload DistilBertForSequenceClassification
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 263183021
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e23ee86ea16033b8aeda03a982f8b25a3a133b8d8cab1b3f1c39d2a9099958cd
|
| 3 |
size 263183021
|