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 32
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:b7331a13df72458354a9e5645dbf9985dd6af6b9c44af43619a7f5aafa6e0e86
|
| 3 |
size 267852461
|
runs/May03_15-42-17_7538f3e1e226/events.out.tfevents.1683128620.7538f3e1e226.2076.0
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 sha256:411d15b03018db7bf265bccb11e1ea2b36386b067127f763b05e7306265eae87
|
| 3 |
+
size 14437
|