Instructions to use IaraMed/bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IaraMed/bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IaraMed/bert_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IaraMed/bert_base") model = AutoModelForSequenceClassification.from_pretrained("IaraMed/bert_base") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
CHANGED
|
@@ -23,5 +23,5 @@
|
|
| 23 |
"transformers_version": "4.47.0",
|
| 24 |
"type_vocab_size": 2,
|
| 25 |
"use_cache": true,
|
| 26 |
-
"vocab_size":
|
| 27 |
}
|
|
|
|
| 23 |
"transformers_version": "4.47.0",
|
| 24 |
"type_vocab_size": 2,
|
| 25 |
"use_cache": true,
|
| 26 |
+
"vocab_size": 28996
|
| 27 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07b47bdee103442709e586fa027014d0a766342ba602b6c68b887bce3ae6c585
|
| 3 |
+
size 433270768
|