Instructions to use whispAI/DirectQuote-SentLevel-DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispAI/DirectQuote-SentLevel-DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="whispAI/DirectQuote-SentLevel-DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") model = AutoModelForTokenClassification.from_pretrained("whispAI/DirectQuote-SentLevel-DistilBERT") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
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 260824949
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21cfaa3eb8ada93bdf5c5e10ef2017ec2c9ab002a5047572262443bd5216ce9e
|
| 3 |
size 260824949
|