Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use amasiukevich/dummy_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amasiukevich/dummy_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amasiukevich/dummy_bert_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amasiukevich/dummy_bert_model") model = AutoModelForSequenceClassification.from_pretrained("amasiukevich/dummy_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433270768
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bccc534c5091955ef323a175a2d3a3d4371f7bab8f730580f6f3f9a0a88ceedd
|
| 3 |
size 433270768
|
runs/Jan10_22-23-06_153c1d0c2ff9/events.out.tfevents.1704925388.153c1d0c2ff9.1289.5
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:cde66097a240692b23f2935853e480146177b4e46959e4ed0f495b6c6a521dde
|
| 3 |
+
size 5487
|