Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Best Generations with
|
2 |
+
```
|
3 |
+
from transformers import OPTForCausalLM
|
4 |
+
from transformers import GPT2Tokenizer
|
5 |
+
|
6 |
+
model = OPTForCausalLM.from_pretrained("Kigo/OPT-350m-COVID-Finetune", from_tf=True)
|
7 |
+
tokenizer = GPT2Tokenizer.from_pretrained("facebook/opt-350m")
|
8 |
+
|
9 |
+
inputs = tokenizer("Covid-19 is Positive, 42.237% of Lungs show GGO, Lower Left Lobe was most affected, Upper Left Lobe was least affected, yes Vascular dilatation, found consolidation. The patient is in critical condition. \n\n\n ", return_tensors="pt")
|
10 |
+
|
11 |
+
generate_ids = model.generate(inputs.input_ids,
|
12 |
+
do_sample=True,
|
13 |
+
max_new_tokens=1000,
|
14 |
+
top_k=50,
|
15 |
+
top_p=0.95,
|
16 |
+
)
|
17 |
+
completion = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
|
18 |
+
print(completion)
|
19 |
+
```
|