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 64
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 sha256:0529f8ebf9cfa4233e9002192b0be570857af2aff0e17446cadb67385c00ace0
|
| 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:cb06e66832bc4e458cb0c36a7326c3413859a03ed97bc55854a19fecab6fb957
|
| 3 |
+
size 25085
|