Instructions to use DenBond2002/bert-finetuned-adcm-v3data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DenBond2002/bert-finetuned-adcm-v3data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DenBond2002/bert-finetuned-adcm-v3data")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DenBond2002/bert-finetuned-adcm-v3data") model = AutoModelForQuestionAnswering.from_pretrained("DenBond2002/bert-finetuned-adcm-v3data") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430908208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8a285934e0fe0e7036e01bb18667d91fa3951fae13d1ea67f9e0ef5eb15c0f2
|
| 3 |
size 430908208
|