Instructions to use mllm-dev/yelp_finetuned_6gpu_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/yelp_finetuned_6gpu_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/yelp_finetuned_6gpu_full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/yelp_finetuned_6gpu_full") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/yelp_finetuned_6gpu_full") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8710f54ada44102c639ae524de829c1a072f72b3c6f87d1c387cf0d1b8f6ef1
|
| 3 |
+
size 510375064
|