Instructions to use tvaldez/classifier-chapter6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tvaldez/classifier-chapter6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tvaldez/classifier-chapter6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tvaldez/classifier-chapter6") model = AutoModelForSequenceClassification.from_pretrained("tvaldez/classifier-chapter6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267838720
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b9906f296ce020d150aa386520e43875a0099ec0084ebee5876c182eb66b1ea
|
| 3 |
size 267838720
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a54f690a230ba1d9faa144555db0181b2a375e82a912cb1bd5467ce2721ed98
|
| 3 |
size 5841
|