Instructions to use eawang/distilbert_num_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/distilbert_num_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eawang/distilbert_num_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eawang/distilbert_num_model") model = AutoModelForSequenceClassification.from_pretrained("eawang/distilbert_num_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 70
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267852461
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:653cf88c6320621779057ff0950086156fa73684ea46f6646dc4d7d7d1f53f2a
|
| 3 |
size 267852461
|
runs/May03_15-59-53_7538f3e1e226/events.out.tfevents.1683129596.7538f3e1e226.2076.2
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 sha256:9c75b569b7f317936d563c43f1fb1ab807c72cad65788d15b5a582378b25bd2c
|
| 3 |
+
size 26993
|