Instructions to use borjagomez/bert_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use borjagomez/bert_model_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="borjagomez/bert_model_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("borjagomez/bert_model_2") model = AutoModelForSequenceClassification.from_pretrained("borjagomez/bert_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c8288a9
1
Parent(s): ccebc52
Training in progress, epoch 2
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 267852913
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:105b2328fa1b88beba8bb4151ffe5f1e7637653845bd56db3e9c32cd089de17a
|
| 3 |
size 267852913
|