Instructions to use mlovelli/intent_classifier_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlovelli/intent_classifier_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mlovelli/intent_classifier_bert_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mlovelli/intent_classifier_bert_base") model = AutoModelForSequenceClassification.from_pretrained("mlovelli/intent_classifier_bert_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433276920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40759c251404ff6c1eaab25d4cdbda900a25d378d4c9a67433fd6e1500569999
|
| 3 |
size 433276920
|
runs/Feb15_15-06-10_4ecd2b7a941c/events.out.tfevents.1708009570.4ecd2b7a941c.734.5
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:bc9cd26dc1ffad6dada75a5611bcaa6f965e3c7f939ce0142d93e3e2aea1d54c
|
| 3 |
+
size 6157
|