Instructions to use bimamuhammad/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bimamuhammad/sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bimamuhammad/sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bimamuhammad/sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("bimamuhammad/sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8b5dc6a
1
Parent(s): 3948c83
Training in progress, step 21500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 437958648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:621a7369fef105587a4340d56fe31834e5af50e577a208b71334698454e5af26
|
| 3 |
size 437958648
|
runs/Dec01_09-12-40_bc67f863550b/events.out.tfevents.1701421975.bc67f863550b.1859.0
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 sha256:55b5cf026cbe93f397a8173edc98c715a0148915028195c9778779d07b89979b
|
| 3 |
+
size 11644
|